Method and apparatus for transcoding between different speech encoding/decoding systems using gain calculations

• US 7,319,953 B2
• Filed: 07/01/2005
• Issued: 01/15/2008
• Est. Priority Date: 07/24/2002
• Status: Expired due to Fees

• Current Assignee: NEC Corporation
• Original Assignee: NEC Corporation
• Inventors: Murashima, Atsushi
• Primary Examiner(s): MCFADDEN, SUSAN IRIS
• Application Number:
  US11/171,387
• Publication Number:
  US 20050240400A1
• Time in Patent Office: 928 Days
• Field of Search: 704/219
• US Class Current: 704/219
• CPC Class Codes: G10L 19/083 the excitation function being an excitation gain G10L25/90 takes precedence
• CPC Class Codes: G10L 19/12 the excitation function being a code excitation, e.g. in code excited linear prediction [CELP] vocoders
• CPC Class Codes: G10L 19/173 Transcoding, i.e. converting between two coded representations avoiding cascaded coding-decoding

Abstract

A code converting apparatus for converting a first code sequence conforming to a first system to a second code sequence conforming to a second system, in which a speech decoding circuit acquires a first linear prediction coefficient and the information on an excitation signal from the first code sequence, and actuates a filter having the aforementioned first linear prediction coefficient with the excitation signal obtained from the information on the excitation signal, to generate a first speech signal. A gain code generating circuit calculates a gain minimizing the distance between a second speech signal, obtained from the second code sequence, and the first speech signal (optimum gain), and corrects the optimum gain. The gain code generating circuit then finds the gain information in the second code sequence, using an evaluation function which will reduce time variations of the gain of the second system.

Claims

1. A code converting method for converting a first code sequence conforming to a first system to a second code sequence conforming to a second system, the method comprising:

receiving first gain information from the first code sequence;

decoding the first gain information from said first code sequence to generate decoded gain;

correcting the decoded gain to generate corrected decoded gain;

generating second gain information in said second code sequence based on the corrected decoded gain, said decoded gain and a gain read out from a gain codebook in said second system; and

outputting the second gain information.

2. The code converting method according to claim 1, wherein the generating step further comprises:

calculating a first square error from the corrected decoded gain and from the gain read out from said gain codebook;

calculating a second square error from said decoded gain and from the gain read out from said gain codebook; and

selecting a gain that minimizes an evaluation function which is based on said first square error and said second square error from said gain codebook to find the gain information in said second code sequence.

3. The code converting method according to claim 2, further comprising:

determining a speech decision value, discriminating a speech segment/non-speech segment, based on a first linear prediction coefficient;

generating an evaluation function by taking a weighted average value of said first and second square errors by weighting coefficients; and

setting said weighting coefficients to respective preset values, based on said speech decision value, depending on the speech segment and the non-speech segment, to calculate said evaluation function.

4. The code converting method according to claim 2, wherein said evaluation function is composed of said first square error, said second square error and weighting coefficients.

5. The code converting method according to claim 1, further comprising:

determining a speech decision value, discriminating a speech segment/non-speech segment, based on a first linear prediction coefficient,

wherein the generating of the second gain information in said second code sequence, uses an evaluation function which will decrease a temporal variation of the gain in said second code sequence, when said speech decision value indicates the non-speech segment.

6. The code converting method according to claim 1, wherein said corrected decoded gain is based on a long-term average value of said decoded gain.

7. A code converting apparatus for converting a first code sequence conforming to a first system to a second code sequence conforming to a second system, said apparatus comprising:

a gain code demultiplexing circuit receiving first gain information from the first code sequence;

a gain decoding circuit decoding the first gain information from said first code sequence to generate decoded gain;

a decoded gain correcting circuit correcting the decoded gain to generate corrected decoded gain;

a gain encoding circuit generating second gain information in said second code sequence based on the corrected decoded gain, said decoded gain and a gain read out from a gain codebook in said second system; and

a gain code multiplexing circuit outputting the second gain information.

8. The code converting apparatus according to claim 7, wherein said gain encoding circuit includes a unit for calculating a first square error from the corrected decoded gain and from the gain read out from said gain codebook, calculating a second square error from said decoded gain and from the gain read out from said gain codebook, and selecting a gain that minimizes an evaluation function which is based on said first square error and said second square error from said gain codebook to find the gain information in said second code sequence.

9. The code converting apparatus according to claim 8, further comprising:

a speech segment/non-speech segment discriminating circuit for outputting a speech decision value, discriminating the speech segment/non-speech segment, based on a first linear prediction coefficient;

said gain encoding circuit finding said evaluation function by taking a weighted average value of said first and second square errors by weighting coefficients; and

setting said weighting coefficients to respective preset values, based on a speech decision value, depending on the speech segment and the non-speech segment, to calculate said evaluation function.

10. The code converting apparatus according to claim 8, wherein said evaluation function is composed of said first square error, said second square error and weighting coefficients.

11. The code converting apparatus according to claim 7, further comprising:

a speech segment/non-speech segment discriminating circuit for discriminating a speech decision value, discriminating the speech segment/non-speech segment, based on a first linear prediction coefficient;

said gain encoding circuit generating the second gain information in said second code sequence, using an evaluation function which will decrease temporal variations of the gain in said second code sequence, when said speech decision value indicates the non-speech segment.

12. The code converting apparatus according to claim 7, wherein said corrected decoded gain is based on a long-term average value of said decoded gain.

13. A computer program product stored in a medium used by a computer, that comprises a code converting apparatus for converting a first code sequence, into a second code sequence conforming to a second system, comprising a program to cause said computer to execute:

(a) a process of receiving first gain information from the first code sequence;

(b) a process of decoding the first gain information from said first code sequence to generate decoded gain;

(c) a process of correcting the decoded gain to generate corrected decoded gain;

(d) a process of generating second gain information in said second code sequence based on the corrected decoded gain, said decoded gain and a gain read out from a gain codebook in said second system; and

(e) a process of outputting the second gain information.

14. The computer program product according to claim 13, further comprising a program to cause said computer to execute a process of calculating a first square error from the corrected decoded gain and from the gain read out from said gain codebook, calculating a second square error from said decoded gain and from the gain read out from said gain codebook, and selecting a gain that minimizes an evaluation function which is based on said first square error and said second square error from said gain codebook to find the gain information in said second code sequence.

15. The computer program product according to claim 14, further comprising a program to cause the computer to execute:

a process of outputting a speech decision value, discriminating a speech segment/non-speech segment, based on a first linear prediction coefficient; and

a process of finding said evaluation function by taking a weighted average value of said first and second square errors by weighting coefficients, and setting said weighting coefficients to respective preset values, based on said speech decision value, depending on the speech segment and the non-speech segment, to calculate said evaluation function.

16. The computer program product according to claim 14, wherein said evaluation function is composed of said first square error, said second square error and weighting coefficients.

17. The computer program product according to claim 13, further comprising a program to cause the computer to execute:

a process of outputting a speech decision value, discriminating a speech segment/non-speech segment, based on a first linear prediction coefficient; and

a process of generating the second gain information in said second code sequence, using an evaluation function which will decrease temporal variations of the gain in said second code sequence, when said speech decision value indicates the non-speech segment.

18. The computer program product according to claim 13, wherein said corrected decoded gain is based on a long-term average value of said decoded gain.

19. A recording medium that may be read out by a computer, said recording medium having recorded thereon said program as defined in claim 13.